Click the image below for a video demonstration by IMEC of a hyperspectral imaging camera operating at fast frame rates. Spectral signatures of different type of leaf objects (paper printed leaf, plastic leaf, tissue leaf, real leaf) across 32 different spectral bands are being captured in parallel at 60 data-cubes / second and analyzed in real-time with PCA (principle component analysis) discrimination algorithms. This demonstrates the discrimination power capabilities of this emerging vision technique that is today catching traction in many different applications ranging from remote sensing, industrial sorting to medical imaging.
Imec approached Adimec to collaborate as the provider of the camera for their system because we focus on application-specific cameras rather than general purpose. This project results in solutions from Imec that can be optimized for a variety of applications.
Related Blogs:
Imec Demonstrates a Compact, Low-Cost, Fast Hyperspectral Imaging Solution
Imec Demonstrates a Compact, Low-Cost, Fast Hyperspectral Imaging Solution, Part 2